Skip to main content

TileDB Vector Search Python client

Project description

TileDB logo

TileDB Vector Search

TileDB-Vector-Search is a C++ library and Python API for vector search built on top of the TileDB Storage Engine.

Please see the following blog posts for background:

We have released a LangChain integration, with others to come soon.

Quick Links

Quick Installation

Pre-built packages are available from PyPI using pip:

pip install tiledb-vector-search

Or from the tiledb conda channel using conda or mamba:

conda install -c tiledb -c conda-forge tiledb-vector-search

Contributing

We welcome contributions. Please see Building for development-build instructions. For large new features, please open an issue to discuss goals and approach in order to ensure a smooth PR integration and review process. All contributions must be licensed under the repository's MIT License.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tiledb_vector_search-0.10.3.tar.gz (22.4 MB view details)

Uploaded Source

Built Distributions

tiledb_vector_search-0.10.3-pp39-pypy39_pp73-win_amd64.whl (10.0 MB view details)

Uploaded PyPy Windows x86-64

tiledb_vector_search-0.10.3-pp39-pypy39_pp73-macosx_12_0_x86_64.whl (15.3 MB view details)

Uploaded PyPy macOS 12.0+ x86-64

tiledb_vector_search-0.10.3-cp312-cp312-win_amd64.whl (10.0 MB view details)

Uploaded CPython 3.12 Windows x86-64

tiledb_vector_search-0.10.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (75.5 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.10.3-cp312-cp312-macosx_12_0_x86_64.whl (15.3 MB view details)

Uploaded CPython 3.12 macOS 12.0+ x86-64

tiledb_vector_search-0.10.3-cp312-cp312-macosx_12_0_arm64.whl (13.8 MB view details)

Uploaded CPython 3.12 macOS 12.0+ ARM64

tiledb_vector_search-0.10.3-cp311-cp311-win_amd64.whl (10.0 MB view details)

Uploaded CPython 3.11 Windows x86-64

tiledb_vector_search-0.10.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (75.7 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.10.3-cp311-cp311-macosx_12_0_x86_64.whl (15.3 MB view details)

Uploaded CPython 3.11 macOS 12.0+ x86-64

tiledb_vector_search-0.10.3-cp311-cp311-macosx_12_0_arm64.whl (13.8 MB view details)

Uploaded CPython 3.11 macOS 12.0+ ARM64

tiledb_vector_search-0.10.3-cp310-cp310-win_amd64.whl (10.0 MB view details)

Uploaded CPython 3.10 Windows x86-64

tiledb_vector_search-0.10.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (75.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.10.3-cp310-cp310-macosx_12_0_x86_64.whl (15.3 MB view details)

Uploaded CPython 3.10 macOS 12.0+ x86-64

tiledb_vector_search-0.10.3-cp310-cp310-macosx_12_0_arm64.whl (13.8 MB view details)

Uploaded CPython 3.10 macOS 12.0+ ARM64

tiledb_vector_search-0.10.3-cp39-cp39-win_amd64.whl (10.0 MB view details)

Uploaded CPython 3.9 Windows x86-64

tiledb_vector_search-0.10.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (75.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

tiledb_vector_search-0.10.3-cp39-cp39-macosx_12_0_x86_64.whl (15.3 MB view details)

Uploaded CPython 3.9 macOS 12.0+ x86-64

tiledb_vector_search-0.10.3-cp39-cp39-macosx_12_0_arm64.whl (13.8 MB view details)

Uploaded CPython 3.9 macOS 12.0+ ARM64

File details

Details for the file tiledb_vector_search-0.10.3.tar.gz.

File metadata

  • Download URL: tiledb_vector_search-0.10.3.tar.gz
  • Upload date:
  • Size: 22.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for tiledb_vector_search-0.10.3.tar.gz
Algorithm Hash digest
SHA256 a7cd6767cf03199cf6db8c6c09fabff751f0946a52c19d83206a9dd0bb4e72cf
MD5 91f5ef3612a5bd814466d81f6e0b92dc
BLAKE2b-256 ed0a6e1798e9b88c39c79bc8f3bbfe1e829bf93d457947770f200d421029d149

See more details on using hashes here.

Provenance

File details

Details for the file tiledb_vector_search-0.10.3-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.3-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 6d3e70f574d92b9335c11d7816147ef5d6d1452dec246b1f4359a701a0d8cf85
MD5 8a0b04e54dc0e5d021335bfb855cbb52
BLAKE2b-256 43516e35e820fa9503a9a5496d0594b0d01b3da273083b131ee5373d84a27786

See more details on using hashes here.

Provenance

File details

Details for the file tiledb_vector_search-0.10.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 462080dc1dc8bff193043de44fed7cd87fe24fb441023263fa9b25601e4ef41d
MD5 6822412f7d06a0ad064a7b37b1d20f23
BLAKE2b-256 2acf1712b2caca130a8e4a5ef939ae2c112b1a46920572369ab9375b2845f918

See more details on using hashes here.

Provenance

File details

Details for the file tiledb_vector_search-0.10.3-pp39-pypy39_pp73-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.3-pp39-pypy39_pp73-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 c25bdfbecabe97eb434074abee12c4b30e4b5d20edc969776803104ceb06e6e6
MD5 79dad05eb90146ac148528947b72b68a
BLAKE2b-256 ae7cb28593883b8ec47c11631b78764f5e495d2a32931af1147a97457f602506

See more details on using hashes here.

Provenance

File details

Details for the file tiledb_vector_search-0.10.3-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.3-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 51be4a3bb2aede7a4b638c07e909e887bbb686360fbea6661fef38e8c8746687
MD5 8c5090232a982d428ee70f9b512096ae
BLAKE2b-256 ce1516ad3afed2b3e464ed03739714229108330d9a8fcc81eedabe7466e53b40

See more details on using hashes here.

Provenance

File details

Details for the file tiledb_vector_search-0.10.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bbbf3a4fa39685324dd77a6d6cd8831321c5cf7c5687b3af11836768e85c9d08
MD5 c7372a66981dcf657d8c1e8dd363c213
BLAKE2b-256 6642b34f3e712d7aa8d076a1a03be90df0be8b1541531b36384e5e9809032cc8

See more details on using hashes here.

Provenance

File details

Details for the file tiledb_vector_search-0.10.3-cp312-cp312-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.3-cp312-cp312-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 9fa8c3e6e7766c856741bf5ddb156416505266319c5c788ab004fff8141fa99e
MD5 e99b1cee554e30a668ff41283a4d8f71
BLAKE2b-256 370728fe2bfb253b79cc1057803f77508fd5d538cc4b6e50bdaf132fc9f28b7d

See more details on using hashes here.

Provenance

File details

Details for the file tiledb_vector_search-0.10.3-cp312-cp312-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.3-cp312-cp312-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 df7f26bfd129d88d0507bd579ae30201868851ee548acaf42faeea9e50f44e10
MD5 d53fdb0385cdf63867ebde6b50a1625b
BLAKE2b-256 579e4e17850cbe40f54f7fe3231fc9f3f55c203d90de5624d97512ff7bfc9b0c

See more details on using hashes here.

Provenance

File details

Details for the file tiledb_vector_search-0.10.3-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.3-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 96ebdc53716702a58ea3b9ab08f935097ceb3f9cd2cbdbdb3ce2bb965f61a2a2
MD5 a2c83accc09fbd082b9ad9b2f63e2d88
BLAKE2b-256 df1ce1a953a7643b904f47e4f45ab3d710cff08c784550098144478d1d419284

See more details on using hashes here.

Provenance

File details

Details for the file tiledb_vector_search-0.10.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e69beee50d560031498b43c49206715d2c18300d6dee904c84cd899a7469f5f8
MD5 6dfb4f22c8d8517e5d80015e199e2196
BLAKE2b-256 1ed1e373280a29323f2144987a5d00477744ae086138781dd9c88ce338848e3c

See more details on using hashes here.

Provenance

File details

Details for the file tiledb_vector_search-0.10.3-cp311-cp311-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.3-cp311-cp311-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 592fd91fec1da5bf6123ce12d46c34babf19ea04dbe386305b7fcfc04af67b93
MD5 0e7e80273a7d91ac5c987fb5070c7a94
BLAKE2b-256 c9eb8dc88e42336644edb78d631ce37532966a92572b4faec0a84d265676a370

See more details on using hashes here.

Provenance

File details

Details for the file tiledb_vector_search-0.10.3-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.3-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 e52efb43feab870da32a9bcd90474dee3452cd406eb2d2a570da27f5e7fbe389
MD5 39fa8c37734c8e99117fd22f779647c5
BLAKE2b-256 367a496fec158ae003392e3d47c13b7100411932ec2eee489ccafefec367041e

See more details on using hashes here.

Provenance

File details

Details for the file tiledb_vector_search-0.10.3-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 22dc8554a56e2acd1b7aa0737a750a32b8afbbc5b014c0c9c6b4bee744dea0b5
MD5 dc7c09595d872b9edf756df00098cf96
BLAKE2b-256 98e4a0aa74ac6032e2be92a54c41bdc88746a2ca41279861701d6481344899a4

See more details on using hashes here.

Provenance

File details

Details for the file tiledb_vector_search-0.10.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4dc0c5e805c2233b9332896e29329ef2e09870d631645f1a480e8a1368bf5079
MD5 91fd21b8d34be350668c44d942356f22
BLAKE2b-256 1a7b75b1f858f34155d3331e7b8c5e64b22ce91b8ca2979546aa1630f989249f

See more details on using hashes here.

Provenance

File details

Details for the file tiledb_vector_search-0.10.3-cp310-cp310-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.3-cp310-cp310-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 def907a1fefdcc00474d71d1f5c1a0f0b34f83404b09c3080203f07e68bbadf4
MD5 2e69986d260a05ccec9bebc333752ce3
BLAKE2b-256 5daacb4f959635f4f175fac9a9a5f67dcd02b6c658e24939c3573590c4412454

See more details on using hashes here.

Provenance

File details

Details for the file tiledb_vector_search-0.10.3-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.3-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 4e2807d571488eb202ae2271ff94ba25c4013087240abe5cc57c58fbfed79c98
MD5 0b2a29e76543c005a1c3174f54489c6a
BLAKE2b-256 9cd7544956ceb58f817e15d71dee7e6af5a1e780efd931d26bb1247aa155af24

See more details on using hashes here.

Provenance

File details

Details for the file tiledb_vector_search-0.10.3-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 33f9246581a21653512e92ee62fb7adc63de8e2837d28dc1a15e469fffea81fb
MD5 aea229a3d986d614a74ec5ff29736778
BLAKE2b-256 feb72e3e7d8056ca9b3f231d79aa35107d718289579140f3ac0c1e8681b7f10c

See more details on using hashes here.

Provenance

File details

Details for the file tiledb_vector_search-0.10.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bc867e95cdbe97f3d34a04fa12c5d98dcfd65dbe20286b84ab1405daa91d6bdd
MD5 cc14a6eb41b1bc374499376d560b217b
BLAKE2b-256 4bc05adb87745cbfee9377962129dfac760d4e258fcad1dc7bbea577f8d31c52

See more details on using hashes here.

Provenance

File details

Details for the file tiledb_vector_search-0.10.3-cp39-cp39-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.3-cp39-cp39-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 8b01491210af76f21a233f8da7dcb404e47fed1651ca0f9bbfc09498092feccf
MD5 77bbeb750f06ff2020f2c8f779296b9d
BLAKE2b-256 cbffcab1c9257a06516767f5d1f0d7215d1a29e39e74804748ad25001522b2d5

See more details on using hashes here.

Provenance

File details

Details for the file tiledb_vector_search-0.10.3-cp39-cp39-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb_vector_search-0.10.3-cp39-cp39-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 f5dc4caa7e56f9a504da7dec25fcc203700a27c02ca5d6b2275ba3f4faa511cc
MD5 00af76313f39c2f537bfa8637941a589
BLAKE2b-256 b7ac9bbb648234c0111d1e1179a9e41b7ae02ee6198da14a6de04ee9047da300

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page